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作 者:韩雪[1] 张彬[2] HAN Xue;ZHANG Bin(Hunan Vocational College of Railway Technology,Zhuzhou 412001,China;School of Geosciences and Info-Physics,Central South University,Changsha 410083,China)
机构地区:[1]湖南铁路科技职业技术学院,湖南株洲410001 [2]中南大学地球科学与信息物理学院,湖南长沙410083
出 处:《数学的实践与认识》2018年第19期323-328,共6页Mathematics in Practice and Theory
基 金:湖南省教育厅科学研究项目(15C0914);湖南铁路科技职业技术学院课题(HTKY-KT2015-20)
摘 要:基于渗漏异常区的特点,提出一种管线渗漏异常GPR数据的电场分量成像技术,用以解决地下介质分布复杂情况下的渗漏异常区的准确识别.由于异常区含水量高,因此采用时间域有限差分法(FDTD)模拟不同介电参数的地质模型在GPR中的电磁波响应,通过正演模拟,反应介电常数差异与反射波能量成正比,差异越大,反射波能量越强.将此成像技术应用在实地管道渗漏探测中,试验结果表明:成像技术成效显著,管道渗漏异常在分量图谱中识别率高.Based on the characteristics of abnormal leakage area, this paper presents an elec-tric field component imaging technology for abnormal GPR data of pipeline leakage, which can be used to solve the accurate identification of abnormal leakage area under the complex distribution of underground medium. Because of the high water content in the abnormal region, the time domain finite difference method (FDTD) is used to simulate the electromagnetic wave response of different dielectric parameters in the GPR. Through the forward modeling, the difference of dielectric constant is proportional to the reflected wave energy, the greater the difference, the stronger the reflected wave energy. This imaging technique is applied to the detection of pipe leakage in the field. The experimental results show that the imaging technology has achieved remarkable results, and the pipeline leakage anomaly has a high recognition rate in the component map.
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